As the COVID-19 pandemic has demonstrated, inadequate health care facilities exist to combat a pandemic. Furthermore, this has emphasised the critical urgency to swiftly establish healthcare facilities equipped to handle patients with infectious diseases, as well as to swiftly modify supply chains in order to produce the prescription medications and other supplies required for infection prevention and treatment of infected patients. The effectiveness of intelligent autonomous machines in aiding human endeavours to combat a pandemic has been demonstrated by the COVID-19 crisis. In many ways, artificial intelligence based on deep learning and neural networks can aid in the battle against COVID-19, especially in the control of autonomous medical robots. Using intelligent machines, health officials hope to prevent the spread of COVID-19 among medical and nursing personnel and patients. We present a sophisticated controller proposal for a hospital-based service robot. The purpose of this category of robot is to dispense medications and transport sustenance to individual patients. An autonomous line-following robot capable of detecting and following a line delineated on the floor while traversing patient rooms while maintaining direction control. Two controllers were utilised concurrently to achieve the desired results: one was a deep neural network controller designed to forecast the path of motion, and the other was a proportional-integral-derivative (PID) controller implemented to regulate speed and steering automatically.